Whenever the sign of the parameters are known of an econometric model, usual two-sided tests are no longer appropriate. In this situation, we propose a distance-based one-sided Wald test, a likelihood based test, to test one-sided alternative. Monte Carlo simulations are conducted to compare power properties of the proposed test with their respective two-sided counterparts. This text emphasizes the use of distance-based one-sided concepts in testing higher order autocorrelation in the context of linear as well as dynamic regression models.
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Whenever the sign of the parameters are known of an econometric model, usual two-sided tests are no longer appropriate. In this situation, we propose a distance-based one-sided Wald test, a likelihood based test, to test one-sided alternative. Monte Carlo simulations are conducted to compare power properties of the proposed test with their respective two-sided counterparts. This text emphasizes the use of distance-based one-sided concepts in testing higher order autocorrelation in the context of linear as well as dynamic regression models.
Rumana Rois is an Assistant Professor in the Department of Statistics at Jahangirnagar University, where she has taught since 2006. Rois received her B.Sc. and M.Sc. degree in Statistics. She has published over 12 articles in leading journals. Her current interest is in exploring different restricted tests’ performance using advanced simulation.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Whenever the sign of the parameters are known of an econometric model, usual two-sided tests are no longer appropriate. In this situation, we propose a distance-based one-sided Wald test, a likelihood based test, to test one-sided alternative. Monte Carlo simulations are conducted to compare power properties of the proposed test with their respective two-sided counterparts. This text emphasizes the use of distance-based one-sided concepts in testing higher order autocorrelation in the context of linear as well as dynamic regression models. 184 pp. Englisch. N° de réf. du vendeur 9783838380919
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rois RumanaRumana Rois is an Assistant Professor in the Department of Statistics at Jahangirnagar University, where she has taught since 2006. Rois received her B.Sc. and M.Sc. degree in Statistics. She has published over 12 articles. N° de réf. du vendeur 5418360
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Taschenbuch. Etat : Neu. Distance-Based One-Sided Wald Test for Restricted Alternatives | Rumana Rois (u. a.) | Taschenbuch | 184 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783838380919 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106032079
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Whenever the sign of the parameters are known of an econometric model, usual two-sided tests are no longer appropriate. In this situation, we propose a distance-based one-sided Wald test, a likelihood based test, to test one-sided alternative. Monte Carlo simulations are conducted to compare power properties of the proposed test with their respective two-sided counterparts. This text emphasizes the use of distance-based one-sided concepts in testing higher order autocorrelation in the context of linear as well as dynamic regression models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783838380919
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Whenever the sign of the parameters are known of an econometric model, usual two-sided tests are no longer appropriate. In this situation, we propose a distance-based one-sided Wald test, a likelihood based test, to test one-sided alternative. Monte Carlo simulations are conducted to compare power properties of the proposed test with their respective two-sided counterparts. This text emphasizes the use of distance-based one-sided concepts in testing higher order autocorrelation in the context of linear as well as dynamic regression models. N° de réf. du vendeur 9783838380919
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